Act on insights closer to where your data is created with edge computing

Act on insights closer to where your data is created with edge computing

Act on insights closer to where your data is created with edge computing

Act on insights closer to where your data is created with edge computing

Executive summary

Executive summary

Executive summary

Executive summary

Edge computing is ushering in a new era of technological innovation. Companies will need to adapt to keep pace in this new age.

Edge computing is ushering in a new era of technological innovation. Companies will need to adapt to keep pace in this new age.

1 min read
01

Edge computing for banking and financial services

Edge computing for banking and financial services

Edge computing for banking and financial services

Edge computing for banking and financial services

Make ATM banking safer and more efficient with edge IT.

Make ATM banking safer and more efficient with edge IT.

1 min read
02

Edge computing for retail and kiosk services

Edge computing for retail and kiosk services

Edge computing for retail and kiosk services

Edge computing for retail and kiosk services

Learn how edge computing can revolutionize modern retail experiences.

Learn how edge computing can revolutionize modern retail experiences.

2 min read
03

Edge computing for connected cars

Edge computing for connected cars

Edge computing for connected cars

Edge computing for connected cars

Connected car sales are booming. Edge computing can help this technology realize its full potential.

Connected car sales are booming. Edge computing can help this technology realize its full potential.

2 min read
04

Edge computing for communications service providers

Edge computing for communications service providers

Edge computing for communications service providers

Edge computing for communications service providers

Save on capital and operating expenses when establishing IT infrastructure.

Save on capital and operating expenses when establishing IT infrastructure.

2 min read
05

Edge computing for industrial and manufacturing

Edge computing for industrial and manufacturing

Edge computing for industrial and manufacturing

Edge computing for industrial and manufacturing

Optimize production and keep workers safe with new technology.

Optimize production and keep workers safe with new technology.

2 min read
06

Conclusion

Conclusion

Conclusion

Conclusion

Gain revolutionary new insights with edge computing.

Gain revolutionary new insights with edge computing.

1 min read
07

Act on insights closer to where your data is created with edge computing

01

1 min read

Executive Summary

Edge computing is ushering in a new era of technological innovation. Companies will need to adapt to keep pace in this new age.

We are in the midst of a new era of computing, edge computing. Like each era of computing before it, edge will impact every industry and force IT departments to adapt to new architectures, deployment models and business models. With edge IT, companies can increase the speed at which data is gathered and interpreted and enable decisions to be made in near- or real-time, increasing revenue growth through enhanced user experiences and new services.

IDC's research on the value of edge confirms that transforming the user experience is a primary driver. More than half of organizations surveyed say that a higher quality experience for the end user is the top benefit of edge investment.

— IDC White Paper, sponsored by IBM, The Importance of Effective Operations in Unlocking Edge IT Value, January 2020.

IDC's research on the value of edge confirms that transforming the user experience is a primary driver. More than half of organizations surveyed say that a higher quality experience for the end user is the top benefit of edge investment.

— IDC White Paper, sponsored by IBM, The Importance of Effective Operations in Unlocking Edge IT Value, January 2020.

Edge is not one of those technologies that you can choose to adopt for your business. Ignoring it will be disastrous for any long-term business strategy. Being an early adopter, on the other hand, will give you a strong competitive advantage similar to that of forward-thinking companies from previous eras of computing.

For example, some of today's most progressive organizations are already moving their enterprise applications to edge locations to get improved resiliency vs. lost connectivity to their central, public or private clouds. While this has redounded to their benefit, IBM believes that the value of edge can be extended even further in the following ways:

  • New customer experiences: Deliver more personalized engagements that proactively respond to users.
  • Faster insights and actions: Tap into new sources of data created and processed at the edge.
  • Continuous operations: Run autonomously, even when disconnected, and reduce disruption and cost.

Using autonomous edge management, companies can now effectively handle distributed computing at the massive scale, variability and speed necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

Discover the art of the possible in your industry

Edge computing takes data and application processing and extends it further out from your central datacenter or public cloud locations into your regional and branch offices, retail stores, manufacturing sites, distribution centers, and connected assets in the field, on the roads and anywhere in between.

Review the following industry-specific use cases to see how your enterprise can shift from the status quo to embracing the art of the possible.

02

1 min read

Edge computing
for banking and financial services

Make ATM banking safer and more efficient with edge IT.

Key use cases:

  • Banking/ATM security
  • Data privacy and residency guidelines

Background

Banks may have cameras installed on hundreds of ATM machines located across many cities, each recording in case the card readers are tampered with. However, the recording is typically used after a fraud has been reported and a customer has experienced a financial loss. This kind of monitoring is also very resource-intensive.

With edge computing, the video feed can be analyzed in near real-time with integrated AI image recognition software on the ATM machine itself—without relying on human intervention or the time and cost of transporting terabytes of video data to a centralized cloud for video analytics. If an ATM is tampered with in any way, it can be automatically shut off before an unsuspecting client inserts their bank card. The bank can then take real-time action by automatically contacting law enforcement.

Another use case is for multinational financial institutions that have to adhere to varying data privacy and residency guidelines. This is difficult to do with a single application deployed on a centralized location, requiring data to traverse geographic boundaries. Edge computing makes managing that effort much easier and enables organizations to deploy applications across thousands of local branch offices.

The status quo:

  • Lack of automated monitoring and analytics put ATMs at risk for break-ins or vandalism and delays alerts to law enforcement.
  • Updates to ATMs are manual, costly and timely.
  • In trading and financial markets, latency can hinder critical financial decisions that need to be made in near real-time.

The art of the possible:

  • Video feeds can be analyzed in real-time at the bank branch, without human intervention or the time and cost of transporting terabytes of video data to a centralized cloud for video analytics. Compromised ATMs can be automatically shut off before any fraud can occur.
  • Banks can implement preventive actions in near real-time and automatically alert local law enforcement.
  • Financial services institutions can bring analytics to the edge and receive alerts in milliseconds, helping to make critical timely decisions.

Using autonomous edge management, financial services companies can now effectively handle distributed computing at the massive scale, variability and speed necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

03

2 min read

Edge computing
for retail and kiosk services

Learn how edge computing can revolutionize modern retail experiences.

Key use cases:

  • Retail inventory management
  • End-user personalization of services
  • Kiosk management and end-user services

Background

Imagine you’re the CIO of a major retail chain. Your goal is to have an efficient, secure and automated means of managing your inventory and delighting your customers with personalized services featuring low latency and near real-time information updates. However, your enterprise is currently struggling to manage inventory and understand your customers’ needs due to a limited supply chain solution. You need to ensure that products are on the shelves when consumers want them.

You also need to understand what consumers are looking for, or what they would have bought if the right product was available. In-store intelligent video image recognition, AI and analytics can indicate where your inventory stands and what actions need to be taken, such as offering a flash sale on overstock items in a particular store for in-store shoppers or those nearby.

Another example? You work for a large manufacturer that supplies thousands of vending kiosks deployed nationwide. Operating these kiosks is a manual process and the operations to maintain and manage them are costly.

Your current state also lacks resiliency and security for transactions, and every software update requires manual installation—at each kiosk—which can drive up administrative costs and limits the number of updates that can be performed. In addition, update cycles may be longer, which can negatively affect performance and increase risk.

Edge computing can automate remote distribution and management of kiosk-based applications and help them continue to operate even when they aren’t connected or have poor network connectivity. Using edge IT also helps the kiosk applications stay current so that your end-users don’t have to interact with older versions that lack the right functionality or features.

With edge IT, you can automate software distribution to your kiosks coupled with edge servers in major venues like stadiums or public travel hubs to improve availability, decrease administrative costs and accelerate the delivery of new features.

The status quo (retail):

  • Retailers may struggle to manage inventory and ensure products are on the shelves when their consumers want them.
  • Supply chain solutions do their best to manage inventory, but lack visibility into real-time consumer behavior beyond just purchasing.

The art of the possible with edge computing (retail):

  • Retailers will know what potential consumers are looking for or would have bought if the right product was available.
  • Intelligent video analytics and AI in-store can identify when inventory is running low and automate the supply chain to have staff restock if available and order more as needed.
  • Intelligent video analytics and AI in-store can also identify overstock items and offer a flash sale for nearby shoppers to increase sales and reduce inventory costs.

The status quo (kiosk management):

  • Maintaining thousands of kiosks requires manual processes and updates.
  • This is timely and costly to operate, and longer update cycles may increase security vulnerabilities.

The art of the possible with edge computing (kiosk management):

  • Securely automate software distribution and updates to kiosks in connected or intermittent connectivity scenarios.
  • Improve availability, decrease administrative costs and accelerate delivery of new features.
  • Deliver more customized services faster, with features based on end-user preference.

Using autonomous edge management, retail companies can now effectively handle distributed computing at massive scale and variability, and at the rate of change necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

04

2 min read

Edge computing
for connected cars

Connected car sales are booming. Edge computing can help this technology realize its full potential.

Key use cases:

  • Driver safety and experience
  • Cost savings for the services provider

Background

Between 2018 and 2023, the volume of connected car sales is expected to grow at a compound annual growth rate of 16.8 percent to reach some 76.3 million units in 2023.* And as the number of vehicles that include connected devices increases, so too will the amount of unstructured data that will need to be run through powerful analytics engines to produce actionable outcomes.

Without an edge computing solution, for example, it’s more difficult to keep the firmware up to date and ensure vehicle data is sent back to the vendor in a timely and uninterrupted manner. Lack of timely updates could increase security vulnerabilities. Latency also becomes an issue, as being able to quickly deliver and receive critical, possibly lifesaving information is put at risk.

With edge computing, connected cars can provide insights into near real-time and location-based weather data that could improve driver awareness and take precautions to prevent accidents in hazardous conditions.

Drivers can also be alerted to take necessary steps based on manufacturer safety recalls in near real-time (e.g. automatically route to the closest dealer). Auto manufacturers can also deliver infotainment and third party in-vehicle applications that improve their user experiences.

Private data becomes more vulnerable when transported over longer distances. An edge IT solution can prioritize what data needs to be processed by the vehicle’s onboard computing system, and what data should be relayed back to data centers for analysis. This precise and rapid exchange of data can drive greater operational efficiency for your enterprise (e.g. automated and faster software updates), and a more secure, seamless and enjoyable experience for your end-users.

Cars

The status quo:

  • Distance and latency cause disruption to service and delay critical infotainment and firmware updates.
  • Longer distances for data exchange can increase mobile connectivity costs and expose sensitive user data.

The art of the possible with edge computing:

  • Faster updates and low latency create a safer and more enjoyable driving experience.
  • Critical updates that driver safety can be received in near-real time.
  • Limiting unnecessary data backhaul reduces the risk of jeopardizing client privacy.

Using autonomous edge management, automotive and connected vehicle companies can now effectively handle distributed computing at massive scale and variability, and at the rate of change necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

*Source: Estimated connected car shipments worldwide between 2019 and 2023

05

2 min read

Edge computing for
communications service providers

Save on capital and operating expenses when establishing IT infrastructure.

Key use cases:

  • Multi-access edge computing (MEC) applications
  • Micro-cloud compute in network edge locations
  • Latency and virtual gaming (AR/VR)

Background

If you're a communications service provider (CSP), you may have enterprise clients that operate retail stores, factories, distribution centers and warehouses—many of which may be dispersed across regional locations.

These diverse environments may require the need for distributed computing, which can necessitate expensive, environmentally hardened equipment in remote locations.

Your clients pay a premium for this equipment so it can operate in conditions that are very different than what you would typically find in a pristine, temperature-controlled IT data centers with physical access protection.

CSPs are helping their clients offload this burden by including micro-cloud compute capabilities—located in network edge locations or in regional datacenters.

With edge computing, their clients no longer have to purchase, install and maintain hardened IT infrastructure. This can translate into lowering both capital expense (CAPEX) and operating expense (OPEX). It also opens up new business and revenue opportunities for the telecommunications provider.

Here's another example. In the world of high-end video gaming, augmented reality (AR) and virtual reality (VR) applications have begun to emerge to meet both business and consumer needs. In order to provide an optimal experience, users need very low latency between movement and their visual field. High latency can lead to a very poor user experience, even creating unwanted physical symptoms like nausea.

CSPs can combine the power of both edge computing and 5G networking to reduce latency and drive an optimal user experience. The end result is a faster, near real-time experience that drives customer loyalty and satisfaction and cements a positive brand image.

The status quo (offload computing capabilities to the edge):

  • Data is housed on equipment that resides in non-ideal conditions (e.g. factories or distribution centers with poor air quality, temperatures, etc.).
  • Industrial-grade equipment is at higher risk for failure, which puts the data at risk.
  • Inability to update software and/or disseminate information to clients in timely manner.

The art of the possible with edge computing (offload computing capabilities to the edge):

  • Offload data by including micro-cloud compute capabilities, located in network edge locations.
  • Cleaner and safer operating environment can improve the safety and integrity of the data.
  • Reduces risk of failure to update software and disseminate information to clients.

The status quo (virtual experiences):

  • Poor user experience due to high latency.
  • Form factor rendering is jeopardized.

The art of the possible with edge computing (virtual experiences):

  • Provides optimal user experience: faster rendering, reduced lag time, etc.
  • Increases the power of applications and related features.
  • Delivers dynamic updates to the user.

Using autonomous edge management, CSPs can now effectively handle distributed computing at massive scale and variability, and at the rate of change necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

06

2 min read

Edge computing for
industrial and manufacturing

Optimize production and keep workers safe with new technology.

Key use cases:

  • Worker safety
  • Production optimization
  • Operational cost savings

Background

From mines to factory assembly lines, worker safety is always a top priority. The question is, how does worker safety translate when you're using powerful computing hardware, oftentimes hosted in unfavorable physical conditions, to power, analyze and inform your decisions and actions?

Many of today’s progressive manufacturing companies are tackling this by investing in edge IT to handle the most pressing worker safety related use cases. Edge IT can accelerate response time when handling an onsite accident, or even prevent the accident from happening in the first place. It can also improve the quality and speed of a factory assembly line.

Let’s explore two examples:

Mining industry companies use data to optimize their operations to improve worker safety, reduce energy consumption and increase productivity. Through the use of intelligent, autonomous machinery, human workers can avoid hazardous and high-risk conditions. The machinery is equipped with sensors, AI and machine learning capabilities that can detect and avoid hazards in real-time and prevent humans from entering unsafe environments. Because that mining company uses edge computing to run and analyze data right on the machinery itself, the information needed to make real-time, lifesaving decisions is consistently available without requiring a connection to a cloud or a remote datacenter.

Edge computing can operate right on the factory floors by intelligently monitoring the performance of machinery in real-time to optimize costs. Predictive analytics can also offer real-time insights into the condition of factory equipment to detect potential failures, minimize loss and downtime and help to maintain quality.

Industrial

The status quo:

  • Unsafe or unknown working environments
  • High operational costs with below average productivity

The art of the possible with edge computing:

  • Safer conditions for workers
  • Optimized machine efficiency to lower costs
  • Real-time insights to optimize production and quality

Using autonomous edge management, CSPs can now effectively handle distributed computing at massive scale and variability, and at the rate of change necessary to address thousands of heterogenous servers and devices across many locations simultaneously.

07

1 min read

Conclusion

Gain revolutionary new insights with edge computing.

Act on insights closer to where the data is being created with edge computing.

Take the next step in your edge computing journey and see how IBM can help extend cloud computing to the edge, with autonomous management capabilities that address new challenges of massive scale, variability and rate of change

With IBM, you can:

Work with a trusted vendor whose solutions are built for scale and can run anywhere.

  • Autonomous management allows a single administrator to securely manage the scale, variability and rate of change of application environments across tens of thousands of endpoints.

Deliver edge-enabled industry solutions that build on IBM expertise.

  • Whether you’re a manufacturer grappling with the potential cost of outages in a production line, a retailer trying to mitigate profit-sensitive issues like spillage and spoilage, or an automaker trying to improve driver experiences and safety, there is no shortage of business-critical use cases that can be addressed as 5G and edge move into widespread production.

IBM also offers extensive industry expertise and a robust ecosystem of Business Partners and IT providers (including equipment manufacturers, independent software vendors and systems integrators).

Make the art of the possible a reality